Wong, Zen Kai (2025) Cybersecurity digital consultant. Final Year Project, UTAR.
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Abstract
Cybersecurity Digital Consultant (CDS) is GPT-based digital assistant designed to generate and design solutions for networking and cybersecurity in diverse IT environments. As network threats evolve and the complexity of cybersecurity paradigms, platforms, tools, and stacks increases, ensuring robust protection for on-premises infrastructure becomes a formidable challenge. CDS is a multi-agent LLM designed to automate the workflow of deploying cybersecurity solutions. CDS define agents involved throughout the deployment pipeline, such as security analyst, cybersecurity consultant and penetration tester, each with a specialized function to deal with different problems. Each individual agent possesses distinct traits, personalities, responsibilities, and roles. A dedicated storage system will be established for each agent to archive their historical data, aiding in future output generation. Inter-agent communication enables a cohesive response to threats by collaboratively generating comprehensive solutions and network designs tailored to the user’s network environment. CDS provides a user-friendly, context-aware approach to protecting networks against an evolving threat landscape.
Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
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Subjects: | H Social Sciences > H Social Sciences (General) T Technology > T Technology (General) T Technology > TD Environmental technology. Sanitary engineering |
Divisions: | Faculty of Information and Communication Technology > Bachelor of Information Technology (Honours) Communications and Networking |
Depositing User: | ML Main Library |
Date Deposited: | 28 Aug 2025 15:29 |
Last Modified: | 28 Aug 2025 15:29 |
URI: | http://eprints.utar.edu.my/id/eprint/7195 |
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